|
--- |
|
base_model: openai/whisper-large-v2 |
|
library_name: peft |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: whisper-large-v2-ft-my_dataset_car100_owner12_snr0x8_mp3-241019-v1 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# whisper-large-v2-ft-my_dataset_car100_owner12_snr0x8_mp3-241019-v1 |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 4.8495 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 5e-05 |
|
- train_batch_size: 128 |
|
- eval_batch_size: 128 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.2 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 11.2648 | 1.0 | 1 | 11.5108 | |
|
| 11.3659 | 2.0 | 2 | 10.3712 | |
|
| 10.3532 | 3.0 | 3 | 8.2361 | |
|
| 8.0834 | 4.0 | 4 | 7.1707 | |
|
| 6.6524 | 5.0 | 5 | 6.3952 | |
|
| 6.0037 | 6.0 | 6 | 5.7626 | |
|
| 5.5881 | 7.0 | 7 | 5.3653 | |
|
| 5.4891 | 8.0 | 8 | 5.0994 | |
|
| 5.2076 | 9.0 | 9 | 4.9297 | |
|
| 4.9913 | 10.0 | 10 | 4.8495 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.0 |
|
- Transformers 4.45.1 |
|
- Pytorch 2.5.0+cu124 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.0 |
